A Semi-Analytical Approach to Gravity Field Analysis from Satellite Observations

The thesis presents a unified scheme, linking observable gravity field functionals to the gravity field unknowns, the spherical harmonic coefficients. Basic gravity field functionals, incorporated in this scheme, are: low-low satellite-to-satellite tracking (lo-lo SST). This observable is realized through measurement of the range and/or range-rate between two low-flying co-orbiting satellites. high-low satellite-to-satellite tracking (hi-lo SST). This observable is realized by space-borne GPS tracking on board a low-flying orbiter. It results in three-dimensional accurate and continuous orbit determination. satellite gravity gradiometry (SGG). The spatial derivatives of the gravity gradient vector, i.e. the tensor of second spatial derivatives of the gravitational potential, is measured by differential accelerometry over short baselines. The relationship between observables and unknowns is linear in a dual spectral way. The observables are transformed into the Fourier domain. The unknowns are the spherical harmonic spectral coefficients. The model that links these quantities is the so-called lumped coefficient approach. The set of linear relationships---or transfer coefficients---of the lumped coefficient model, together with a stochastic model, allows for an accurate pre-mission error assessment of any type of gravity field mission. The type(s) of observable(s), power spectral error density, orbital parameters, mission duration, and so on, are parameters that can be tuned at will in this procedure. Thus gravity field missions can be planned in advance. One of the advantages of the lumped coefficient approach is the fact that the normal equations, required to infer the unknowns, become a block-diagonal system. In view of the enormous amount of data and of unknowns (e.g. 100000 coefficients), this model leads to a viable way to separate data and unknown, such that computational requirements remain limited. In particular, the thesis describes representations of the gravitational potential, on the sphere and along-orbit, leading to the lumped coefficient model. Then a comprehensive set of transfer coefficients for the above functionals are derived. Next, a spectral analysis follows. Then least-squares error theory is developed. Finally, many case studies display the single and combined effects of the above functionals, and of several other parameters.

[1]  J. O'keefe Zonal harmonics of the Earth's gravitational field and the basic hypothesis of geodesy , 1959 .

[2]  Bradford W. Parkinson,et al.  Error Equations of Inertial Navigation with Special Application to Orbital Determination and Guidance , 1966 .

[3]  M. Wolff,et al.  Direct measurements of the Earth's gravitational potential using a satellite pair , 1969 .

[4]  R. Gooding Lumped Fifteenth-order Harmonics in the Geopotential , 1971 .

[5]  G. Bierman Factorization methods for discrete sequential estimation , 1977 .

[6]  C. Wagner,et al.  Gravitational harmonics from shallow resonant orbits , 1977 .

[7]  E. Gaposchkin Recent advances in analytical satellite theory , 1978 .

[8]  D. Jackson The use of a priori data to resolve non‐uniqueness in linear inversion , 1979 .

[9]  M. Burṥa,et al.  Transformations of spherical harmonics and applications to geodesy and satellite theory , 1980 .

[10]  C. Wagner Direct determination of gravitational harmonics from low‐low GRAVSAT data , 1983 .

[11]  Inference of variations in the gravity field from satellite-to-satellite range rate , 1983 .

[12]  O. Colombo Notes on the mapping of the gravity field using satellite data , 1986 .

[13]  B. Tapley,et al.  Radial, transverse and normal satellite position perturbations due to the geopotential , 1987 .

[14]  Geopotential research mission (GRM): a contribution to the assessment of orbit accuracy, orbit determination and gravity field modelling , 1988 .

[15]  T. Engelis On the simultaneous improvement of a satellite orbit and determination of sea surface topography using altimeter data , 1988, manuscripta geodaetica.

[16]  E. Wnuk Tesseral harmonic perturbations for high order and degree harmonics , 1988 .

[17]  E. Schrama The role of orbit errors in processing of satellite altimeter data , 1989 .

[18]  D. King-hele,et al.  Explicit forms of some functions arising in the analysis of resonant satellite orbits , 1988, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[19]  O. Colombo The dynamics of global positioning system orbits and the determination of precise ephemerides , 1989 .

[20]  A. Kanter,et al.  A method to compute inclination functions and their derivatives. , 1989 .

[21]  C. Reigber,et al.  Gravity field recovery from satellite tracking data , 1989 .

[22]  C. Jekeli,et al.  Gravity estimation from STAGE, a Satellite‐to‐Satellite Tracking Mission , 1990 .

[23]  R. Haagmans,et al.  Error variances-covariances of GEM-T1: Their characteristics and implications in geoid computation , 1991 .

[24]  J. D. Zund,et al.  Geophysical Geodesy: The Slow Deformation of the Earth , 1991 .

[25]  Ernst J. O. Schrama,et al.  Gravity field error analysis - Applications of Global Positioning System receivers and gradiometers on low orbiting platforms , 1991 .

[26]  Gauss's equations of motion in terms of Hill variables and first application to numerical integration of satellite orbits. , 1992 .

[27]  Desmond George King-Hele,et al.  A tapestry of orbits , 1992 .

[29]  R. Koop Global gravity field modelling using satelite gravity gradiometry , 1993 .

[30]  F. Sansò,et al.  Spherical harmonic analysis of satellite gradiometry , 1993 .

[31]  R. Rummel Principle of satellite altimetry and elimination of radial orbit errors , 1993 .

[32]  N. Sneeuw Global spherical harmonic analysis by least‐squares and numerical quadrature methods in historical perspective , 1994 .

[33]  Bob E. Schutz,et al.  Gravity model development for TOPEX/POSEIDON: Joint gravity models 1 and 2 , 1994 .

[34]  D. King-hele,et al.  Comparison of geopotential harmonics in comprehensive models with those derived from satellite resonance, 1972–1993 , 1994 .

[35]  Analytical dynamic orbit improvement for the evaluation of geodetic-geodynamic satellite data , 1995 .

[36]  N. Sneeuw,et al.  Global spherical harmonic computation by two-dimensional Fourier methods , 1996 .

[37]  P. Bonnefond,et al.  Analytical solution of perturbed circular motion: application to satellite geodesy , 1997 .

[38]  Reiner Rummel,et al.  Geodetic boundary value problems in view of the one centimeter geoid , 1997 .

[39]  J. Bouman Quality Assessment of Geopotential Models by Means of Redundancy Decomposition , 1997 .

[40]  A geopotential error analysis for a non planar satellite to satellite tracking mission , 1997 .

[41]  N. K. Pavlis,et al.  The Development of the Joint NASA GSFC and the National Imagery and Mapping Agency (NIMA) Geopotential Model EGM96 , 1998 .

[42]  Robert W. King,et al.  Estimating regional deformation from a combination of space and terrestrial geodetic data , 1998 .